It's easy to drown in data and still not know whether a product is actually succeeding. Dashboards multiply, reports pile up, and yet the one question that matters — is this product genuinely performing? — often goes unanswered with any real confidence. Product Analytics is the discipline that cuts through that noise, giving product teams a clear, evidence-based read on performance instead of a wall of disconnected numbers. The Product Analytics and Performance Measurement Training Course, delivered by The British Academy for Training and Development, is built for product professionals who need to measure what genuinely matters and act on it with confidence.

This course treats analytics as a decision-making discipline, not a reporting exercise. Participants learn how to define a north star metric that keeps an entire team aligned around one meaningful outcome, how to run funnel analysis to pinpoint exactly where users drop off and why, and how to read retention data as one of the most honest signals a product can offer. The course also covers how to work effectively with business intelligence tools and teams, translating raw data into insight that shapes real product decisions rather than sitting in a report nobody reads twice. Participants leave with a practical measurement framework they can apply immediately to their own product, not just a tour of metrics they already half-recognise.

By the end of this course, participants will be able to:

• Apply Product Analytics principles to measure genuine product performance
• Define a north star metric that aligns teams around a single meaningful outcome
• Run funnel analysis to identify precisely where and why users drop off
• Analyse retention data to understand long-term product health
• Work effectively with business intelligence tools and teams to access reliable data
• Distinguish meaningful performance signals from vanity metrics
• Translate analytics into clear, defensible product decisions
• Build a sustainable measurement practice that evolves with the product

Target Group

• Product managers and product owners responsible for performance measurement
• Data analysts and business intelligence professionals working with product teams
• Growth and marketing professionals relying on funnel and retention data
• Heads of product embedding analytics into product strategy
• Founders and startup teams needing a clear read on product performance
• Professionals transitioning from intuition-led to analytics-led product management

• Why Product Analytics Matters
• The gap between having data and genuinely understanding performance
• Common traps: dashboard overload and metrics that don't inform decisions
• Defining a North Star Metric
• Choosing a single metric that reflects genuine product value
• Aligning teams and roadmap priorities around the north star metric
• Running Effective Funnel Analysis
• Mapping the funnel to identify exactly where users drop off
• Diagnosing why drop-off happens, not just where
• Understanding and Improving Retention
• Reading retention as one of the most honest indicators of product health
• Identifying patterns behind disengagement and churn
• Working with Business Intelligence Tools and Teams
• Collaborating effectively with business intelligence to access reliable data
• Structuring data requests that produce genuinely useful analysis
• From Metrics to Product Decisions
• Translating analytics into prioritised, defensible roadmap decisions
• Avoiding decisions driven by vanity metrics rather than genuine signals
• Measuring Performance Across the Product Lifecycle
• Adjusting metrics and analysis as a product moves from launch to maturity
• Recognising when existing metrics no longer reflect reality
• Communicating Performance to Stakeholders
• Presenting north star metrics, funnel data, and retention insight clearly
• Defending performance-based decisions under stakeholder pressure
• Building a Sustainable Analytics Practice
• Embedding regular performance review into everyday product routines
• Keeping metrics and measurement frameworks relevant as the product evolves